16 citations · 41 across the 8 of their papers we have counts for
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cs.LG2018★ 1 cited
Deep Q learning for fooling neural networks
Mandar Kulkarni
Deep learning models are vulnerable to external attacks. In this paper, we propose a Reinforcement Learning (RL) based approach to generate adversarial examples for the pre-trained…
cs.LG2018★ 4 cited
Siamese networks for generating adversarial examples
Mandar Kulkarni, Aria Abubakar
Machine learning models are vulnerable to adversarial examples. An adversary modifies the input data such that humans still assign the same label, however, machine learning models…